Training Workshops
June 27, 2018

Grand Mogador MENARA  •  Avenue Mohammed VI  •  Marrakesh

We are pleased to offer training workshops on various topics the day before the Annual Conference begins. There will be two sessions offered and you can mix and match to meet your needs. The workshops are available as an add-on to the conference registration or as a stand-alone item. Lunch and all materials are include. Pricing is as follows:

Regular Workshop$60
Student Workshop$30

Workshop Flyer

Session I   9:00-12:00


Méthodes d’échantillonnage et de redressement dans les enquêtes
(Sampling and adjustment methods in surveys)
Le cours se donne en français (this course is given in french)

Instructor: Mohamed Tirari, Institut National de Statistique et d’Economie Appliquée (INSAE), Rabat, Maroc

Mohammed El Haj Tirari, has a Ph.D. degree in Statistics from the Université Libre de Bruxelles. From 1995 to 2004, he was Assistant Professor and researcher at the Université libre de Bruxelles (ULB). From 2004 to 2010, he was Lecturer/Researcher at the Ecole Nationale de Statistique et d’Analyse d’information (Rennes, France). He also taught at the University Pierre and Marie Curie (Paris, France). Since 2010, he is Full Professor at the Institut National de Statistique et d’Economie Appliquée (Rabat, Morocco).  He participated as trainer in EU training programs: Medstat II, Medstat III and AMICO. He has several years of experience in the field of applied statistics, survey sampling, more specifically, sampling methods, estimation methods, estimation of the precision in complex survey designs, treatment of non-response and treatment of the measurement errors, methods of datamining and statistical modeling.

Plan de cours :

  1. Principes de base de la théorie des sondages
  2. Estimation des paramètres de la population et les pondérations de sondage
  3. Principes des techniques de redressement
  4. La technique de calage
  5. Critère du choix des variables de calage
  6. Le rôle de calage pour l’amélioration de la qualité des résultats pour les enquêtes d’opinion publique
  7. Traitement de la non réponse en utilisant la technique de calage


  1. Basic principles of the sampling theory
  2. Estimation of population parameters and survey weighting
  3. Principle of Adjustment Techniques
  4. The calibration technique
  5. Choice of calibration variables
  6. The role of the calibration technique for improving results in Public Opinion
  7. Correction of non-response using the calibration technique


Mixed Mode Surveys

Instructor: Professor Caroline Roberts, University of Lausanne

Caroline Roberts is Assistant Professor in Survey Methodology in the Institute of Social Sciences at the University of Lausanne, Switzerland, and an affiliated researcher at FORS, the Swiss Centre of Expertise in the Social Sciences. Her research interests relate to the measurement and reduction of different types of survey error, particularly in mixed mode surveys, and to ways of improving the measurement of social attitudes. She teaches courses on survey research methods, questionnaire design and public opinion formation and measurement.  She has a PhD in Social Psychology from the London School of Economics and Political Science, and has worked in the coordinating teams of a number of large-scale surveys, including the European Social Survey at City University, London, and the American National Election Studies at Stanford University. She is currently Chair of the Scientific Committee of the European Survey Research Association.

Course Overview:

The past decade has seen a proliferation in the variety of modes of data collection available for conducting survey fieldwork, alongside increasing pressures to reduce survey costs and address threats to sample representativeness from non-coverage and nonresponse. In this context, multi-mode surveys have become common practice, and increasingly so out of necessity. This workshop will introduce participants to the promises and perils of mixing modes. We will begin with the motivations for combining data collection methods, the principal ways of doing so, and the intended benefits. We will then consider how different modes influence different sources of survey error and the various implications of this: for survey and questionnaire design, for managing fieldwork, for data quality and consequently, for data analysis.


By the end of the workshop, participants should be able to:

Describe how data collection mode relates to different types of error in survey estimates
Use this information to inform the design and implementation of mixed mode surveys
Address the implications of mode effects on survey error for data quality and the analysis of mixed mode data


  1. Choosing between modes
  2. Choosing to mix modes
  3. Mode effects on survey errors
  4. Implications of mixing modes for survey design
  5. Implications for questionnaire design
  6. Implications for fieldwork
  7. Implications for data quality
  8. Implications for data analysis

Session ll   13:30-16:30


Data Integrity Insurance in Survey Research

Instructor: Eugene Kritski, GlobeScan, Inc.

Dr. Eugene Kritski is an expert in research methodologies, study design, advanced statistical analyses, and strategic counseling. Since 2003, he has been chief methodologist at GlobeScan Inc. overseeing projects on behalf of corporations, governments, industries, professional associations, and non-for-profit organisations in the areas of corporate reputation, issues management on a local, national and global scale. Dr. Kritski has taught a variety of university courses including: Sociology, Social Research Methods, Statistical Analysis of Survey Data.


  1. 1. Introduction, background, case studies
  2. Data integrity assurance through survey design and field management
  3. Importance and uses of paradata
  4. Trap questions
  5. Post-field quality check, e.g. duplicate cases, fieldwork integrity, response patterns
  6. Q&A


Limitations of On-Line panels in Election Surveys; Teachings from Experience in USA, India and South Africa

Instructor: Yashwant Deshmukh, CVoter Foundation

Yashwant Deshmukh is a Communications Professional with working experience as a Journalist, Pollster, Evaluation Expert, International Observer and TV News Anchor. Over the last two decades, Yashwant has become a figure in the Indian Media for his special emphasis on impeccable research, design & production.  He completed his Major in Media at the prestigious IIMC (Indian Institute of Mass Communication) in New Delhi and has been trained professionally in Evaluations & Research (University of Ulster, UK), Polling & International Observations Missions (University of Bergen, Norway) and Elections Administration (Auburn University, USA). He is an accomplished keynote speaker, mentor and coach, training media and communications students the finer points of research in their day-to-day activities. He has been a visiting faculty in many Universities / Institutions and his workshops are attended by over 500 students every year. He is life member of WAPOR and also member of ISQOLS, ESRA and The Election Center.


  1. 1. Introduction to Online panels
  2. Comparison with traditional F2F and CATI.
  3. Variations in Opt-in, River sample and Random recruited panel
  4. How random is even the random recruited online panel
  5. Social Media Snap Polls: what about “Under-the-hood” data?
  6. What works well with online election research
  7. What doesn’t work with online election research
  8. The future of probabilities
  9. Digital divide and the western misconceptions about it
  10. Q&A